Drew A. Torigian
- Oncology top 0.5%
- Immunology top 1%
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- Radiomics and Machine Learning in Medical Imaging 65
- Medical Imaging Techniques and Applications 63
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- Lung Cancer Diagnosis and Treatment 30
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- Medical Image Segmentation Techniques 38
- Advanced Neural Network Applications 19
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- Medical Imaging and Analysis 30
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- Atomic and Subatomic Physics Research 19
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- Cardiovascular Disease and Adiposity 19
- Co-authors
- Abass AlaviBabak SabouryGregory L. BeattySandip BasuHongming ZhuangJayaram K. UdupaRobert H. VonderheideUrsina Teitelbaum
- Journals
- Science (1 paper)Journal of Clinical Oncology (7 papers)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Drew A. Torigian
311 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Oncology 3.3k
- Immunology 2.3k
- Radiology, Nuclear Medicine and Imaging 2.1k
- Pulmonary and Respiratory Medicine 1.9k
- Endocrine and Autonomic Systems 331
Countries citing papers authored by Drew A. Torigian
This map shows the geographic impact of Drew A. Torigian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Drew A. Torigian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Drew A. Torigian more than expected).
Fields of papers citing papers by Drew A. Torigian
This network shows the impact of papers produced by Drew A. Torigian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Drew A. Torigian. The network helps show where Drew A. Torigian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Drew A. Torigian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 40 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 14 | |
| 12 | 2021 | 3 | |
| 13 | 2019 | 25 | |
| 14 | 2019 | 96 | |
| 15 | Encoding High-Level Visual Attributes in Capsules for Explainable Medical Diagnoses. | 2019 | 3 |
| 16 | 2014 | 7 | |
| 17 | 2013 | 364 | |
| 18 | 2013 | 181 | |
| 19 | Mesothelin-Specific Chimeric Antigen Receptor mRNA-Engineered T Cells Induce Antitumor Activity in Solid Malignanciesbreakdown → | 2013 | 693 |
| 20 | 2007 | 31 |
About Drew A. Torigian
Drew A. Torigian is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 323 papers that have together received 9.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (65 papers), Medical Imaging Techniques and Applications (63 papers), Medical Image Segmentation Techniques (38 papers), Lung Cancer Diagnosis and Treatment (30 papers), Medical Imaging and Analysis (30 papers), Advanced Neural Network Applications (19 papers), Atomic and Subatomic Physics Research (19 papers) and Cardiovascular Disease and Adiposity (19 papers). The work is most often cited by research in Oncology (3.3k citations), Immunology (2.3k citations) and Radiology, Nuclear Medicine and Imaging (2.1k citations). Drew A. Torigian has collaborated with scholars based in United States, China and India. Frequent co-authors include Abass Alavi, Babak Saboury, Gregory L. Beatty, Sandip Basu, Hongming Zhuang, Jayaram K. Udupa, Robert H. Vonderheide, Ursina Teitelbaum, E. Gabriela Chiorean and Weijing Sun. Their work appears in journals such as Science, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.